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Tips for Teachers of Evidence-based Medicine: Making Sense of Decision Analysis Using a Decision Tree
Decision analysis is a tool that clinicians can use to choose an option that maximizes the overall net benefit to a patient. It is an explicit, quantitative, and systematic approach to decision making under conditions of uncertainty. In this article, we present two teaching tips aimed at helping cli...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Springer-Verlag
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2669856/ https://www.ncbi.nlm.nih.gov/pubmed/19247720 http://dx.doi.org/10.1007/s11606-009-0918-8 |
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author | Lee, Anna Joynt, Gavin M. Ho, Anthony M. H. Keitz, Sheri McGinn, Thomas Wyer, Peter C. |
author_facet | Lee, Anna Joynt, Gavin M. Ho, Anthony M. H. Keitz, Sheri McGinn, Thomas Wyer, Peter C. |
author_sort | Lee, Anna |
collection | PubMed |
description | Decision analysis is a tool that clinicians can use to choose an option that maximizes the overall net benefit to a patient. It is an explicit, quantitative, and systematic approach to decision making under conditions of uncertainty. In this article, we present two teaching tips aimed at helping clinical learners understand the use and relevance of decision analysis. The first tip demonstrates the structure of a decision tree. With this tree, a clinician may identify the optimal choice among complicated options by calculating probabilities of events and incorporating patient valuations of possible outcomes. The second tip demonstrates how to address uncertainty regarding the estimates used in a decision tree. We field tested the tips twice with interns and senior residents. Teacher preparatory time was approximately 90 minutes. The field test utilized a board and a calculator. Two handouts were prepared. Learners identified the importance of incorporating values into the decision-making process as well as the role of uncertainty. The educational objectives appeared to be reached. These teaching tips introduce clinical learners to decision analysis in a fashion aimed to illustrate principles of clinical reasoning and how patient values can be actively incorporated into complex decision making. |
format | Text |
id | pubmed-2669856 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Springer-Verlag |
record_format | MEDLINE/PubMed |
spelling | pubmed-26698562009-05-30 Tips for Teachers of Evidence-based Medicine: Making Sense of Decision Analysis Using a Decision Tree Lee, Anna Joynt, Gavin M. Ho, Anthony M. H. Keitz, Sheri McGinn, Thomas Wyer, Peter C. J Gen Intern Med Teaching Tips Decision analysis is a tool that clinicians can use to choose an option that maximizes the overall net benefit to a patient. It is an explicit, quantitative, and systematic approach to decision making under conditions of uncertainty. In this article, we present two teaching tips aimed at helping clinical learners understand the use and relevance of decision analysis. The first tip demonstrates the structure of a decision tree. With this tree, a clinician may identify the optimal choice among complicated options by calculating probabilities of events and incorporating patient valuations of possible outcomes. The second tip demonstrates how to address uncertainty regarding the estimates used in a decision tree. We field tested the tips twice with interns and senior residents. Teacher preparatory time was approximately 90 minutes. The field test utilized a board and a calculator. Two handouts were prepared. Learners identified the importance of incorporating values into the decision-making process as well as the role of uncertainty. The educational objectives appeared to be reached. These teaching tips introduce clinical learners to decision analysis in a fashion aimed to illustrate principles of clinical reasoning and how patient values can be actively incorporated into complex decision making. Springer-Verlag 2009-02-27 2009-05 /pmc/articles/PMC2669856/ /pubmed/19247720 http://dx.doi.org/10.1007/s11606-009-0918-8 Text en © Society of General Internal Medicine 2009 |
spellingShingle | Teaching Tips Lee, Anna Joynt, Gavin M. Ho, Anthony M. H. Keitz, Sheri McGinn, Thomas Wyer, Peter C. Tips for Teachers of Evidence-based Medicine: Making Sense of Decision Analysis Using a Decision Tree |
title | Tips for Teachers of Evidence-based Medicine: Making Sense of Decision Analysis Using a Decision Tree |
title_full | Tips for Teachers of Evidence-based Medicine: Making Sense of Decision Analysis Using a Decision Tree |
title_fullStr | Tips for Teachers of Evidence-based Medicine: Making Sense of Decision Analysis Using a Decision Tree |
title_full_unstemmed | Tips for Teachers of Evidence-based Medicine: Making Sense of Decision Analysis Using a Decision Tree |
title_short | Tips for Teachers of Evidence-based Medicine: Making Sense of Decision Analysis Using a Decision Tree |
title_sort | tips for teachers of evidence-based medicine: making sense of decision analysis using a decision tree |
topic | Teaching Tips |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2669856/ https://www.ncbi.nlm.nih.gov/pubmed/19247720 http://dx.doi.org/10.1007/s11606-009-0918-8 |
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